4.6 Article

Transcriptomic Analysis of a Diabetic Skin-Humanized Mouse Model Dissects Molecular Pathways Underlying the Delayed Wound Healing Response

期刊

GENES
卷 12, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/genes12010047

关键词

transcriptomics; wound healing; diabetes; skin-humanized mice; enrichment analysis

资金

  1. Spanish Ministry of Economy and Competitiveness [SAF2017-86810-R, SAF2010-16976]
  2. FEDER [ISCIII PT17/0009/0015 FEDER]

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Through molecular analysis using a humanized model, dysregulation of genes related to angiogenesis, apoptosis, and inflammatory processes in diabetic patients were identified, supporting the use of this model to gain insight into the molecular basis of delayed diabetic healing with potential impact in translational medicine.
Defective healing leading to cutaneous ulcer formation is one of the most feared complications of diabetes due to its consequences on patients' quality of life and on the healthcare system. A more in-depth analysis of the underlying molecular pathophysiology is required to develop effective healing-promoting therapies for those patients. Major architectural and functional differences with human epidermis limit extrapolation of results coming from rodents and other small mammal-healing models. Therefore, the search for reliable humanized models has become mandatory. Previously, we developed a diabetes-induced delayed humanized wound healing model that faithfully recapitulated the major histological features of such skin repair-deficient condition. Herein, we present the results of a transcriptomic and functional enrichment analysis followed by a mechanistic analysis performed in such humanized wound healing model. The deregulation of genes implicated in functions such as angiogenesis, apoptosis, and inflammatory signaling processes were evidenced, confirming published data in diabetic patients that in fact might also underlie some of the histological features previously reported in the delayed skin-humanized healing model. Altogether, these molecular findings support the utility of such preclinical model as a valuable tool to gain insight into the molecular basis of the delayed diabetic healing with potential impact in the translational medicine field.

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